From Nasdaq: 2025-06-12 14:40:00

Here are some recent price targets for $AMD:

– Cantor Fitzgerald set a price target of $200 on 06/09/2025
– Barclays set a price target of $190 on 05/16/2025
– Wedbush set a price target of $185 on 05/07/2025
– UBS set a price target of $180 on 05/07/2025
– Bank of America Securities set a price target of $175 on 04/22/2025
– Piper Sandler set a price target of $170 on 02/19/2025
– Wells Fargo set a price target of $165 on 02/19/2025

To track price targets and analyst ratings for $AMD, visit Quiver Quantitative’s forecast page. Analysts set price targets for AMD stock, with a median target of $140.00. AMD introduced an open, scalable rack-scale AI infrastructure at the 2025 Advancing AI event. The company showcased the Instinct MI350 Series accelerators, ROCm ecosystem, and open rack-scale designs for AI solutions across industries. AMD aims for a 20x increase in rack-scale energy efficiency by 2030. The company also announced the availability of the AMD Developer Cloud for global developers. Strategic partnerships with leaders like Meta, OpenAI, and Microsoft demonstrate the power of co-developed, open solutions. OCI partners with AMD to offer zettascale AI clusters with up to 131,072 MI355X GPUs for scalable performance. HUMAIN collaborates with AMD to build open, resilient AI infrastructure. Microsoft uses Instinct MI300X to power AI models on Azure. Cohere deploys Command models on Instinct MI300X for high-performance LLM inference. Red Hat and AMD collaborate to deliver AI processing on Red Hat OpenShift AI. Astera Labs plans to offer UALink products for AI infrastructure. Marvell joins UALink Consortium for open interconnect in AI infrastructure. AMD Performance Labs calculated the peak theoretical precision performance of various GPU platforms using different datatypes. Internal testing compared the inference throughput of AMD Instinct MI355X and MI300X platforms. Performance testing measured text generated inference throughput between AMD and NVIDIA platforms. A performance projection was made for the future AMD Instinct MI400 Series GPU. Calculations were done to determine performance per Watt using AMD CPUs and GPUs. Advanced racks for AI training/inference were designed based on AMD roadmaps and historical trends. The number of racks needed to train a typical AI model was estimated based on AMD data. The electricity use and carbon intensity of AMD systems were calculated for training AI models.



Read more at Nasdaq: AMD Presents Comprehensive AI Ecosystem Featuring New Instinct MI350 Series and Open Rack-Scale Infrastructure at 2025 Advancing AI Event